• DocumentCode
    1372585
  • Title

    Local Key Estimation From an Audio Signal Relying on Harmonic and Metrical Structures

  • Author

    Papadopoulos, Hélène ; Peeters, Geoffroy

  • Author_Institution
    Comput. Sci. Dept., Univ. of Victoria, Victoria, BC, Canada
  • Volume
    20
  • Issue
    4
  • fYear
    2012
  • fDate
    5/1/2012 12:00:00 AM
  • Firstpage
    1297
  • Lastpage
    1312
  • Abstract
    In this paper, we present a method for estimating the progression of musical key from an audio signal. We address the problem of local key finding by investigating the possible combination and extension of different previously proposed approaches for global key estimation. In this work, key progression is estimated from the chord progression. Specifically, we introduce key dependency on the harmonic and the metrical structures. A contribution of our work is that we address the problem of finding an analysis window length for local key estimation that is adapted to the intrinsic music content of the analyzed piece by introducing information related to the metrical structure in our model. Key estimation is not performed on empirically chosen segments but on segments that are expressed in relationship with the tempo period. We evaluate and analyze our results on two databases of different styles. We systematically analyze the influence of various parameters to determine factors important to our model, we study the relationships between the various musical attributes that are taken into account in our work, and we provide case study examples.
  • Keywords
    audio signal processing; audio signal relying; chord progression; global local key estimation; harmonic structures; intrinsic music content; metrical structures; musical key; Adaptation models; Estimation; Feature extraction; Harmonic analysis; Hidden Markov models; Modulation; Vectors; Acoustic signal analysis; chord; chroma; downbeat; hidden Markov model (HMM); information retrieval; key; music analysis;
  • fLanguage
    English
  • Journal_Title
    Audio, Speech, and Language Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1558-7916
  • Type

    jour

  • DOI
    10.1109/TASL.2011.2175385
  • Filename
    6074928